Skip to main content

Hybrid Precoding for HAP Massive MIMO Systems

  • Conference paper
  • First Online:
Space Information Networks (SINC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1169))

Included in the following conference series:

  • 737 Accesses

Abstract

A hybrid precoding scheme is proposed for high altitude platform (HAP) massive multiple-input multiple-output (MIMO) systems to obtain the radio frequency (RF) precoder and the baseband precoder with limited RF chains. We first exploit duality theory to derive the relation between the statistical channel state information (SCSI) and RF precoder, which is selected from a predefined codebook. Then, the baseband precoder is attained by zero forcing (ZF) based on the instantaneous effective channel matrix. A distinct performance gain is achieved by the proposed scheme according to the numerical results.

This work is supported by the National Natural Science Foundation of China under Grants 61771308, 91438113 and 61971278 and the Important National Science and Technology Specific Project of China under Grants 2018ZX03001020-005.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mohammed, A., Mehmood, A., Pavlidou, F., Mohorcic, M.: The role of High-Altitude Platforms (HAPs) in the global wireless connectivity. Proc. IEEE 99(11), 1939–1953 (2011)

    Article  Google Scholar 

  2. Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wireless Commun. 9(11), 3590–3600 (2010)

    Article  Google Scholar 

  3. Gao, X., Dai, L., Han, S., Chih-Lin, I., Heath, R.W.: Energy-efficient hybrid analog and digital precoding for MmWave MIMO systems with large antenna arrays. IEEE J. Sel. Areas Commun. 34(4), 998–1009 (2016)

    Article  Google Scholar 

  4. Liang, L., Xu, W., Dong, X.: Low-complexity hybrid precoding in massive multiuser MIMO systems. IEEE Wirel. Commun. Lett. 3(6), 653–656 (2014)

    Article  Google Scholar 

  5. Ayach, O.E., Rajagopal, S., Abu-Surra, S., Pi, Z., Heath, R.W.: Spatially sparse precoding in millimeter wave MIMO systems. IEEE Trans. Wirel. Commun. 13(3), 1499–1513 (2014)

    Article  Google Scholar 

  6. He, L., Wang, J., Song, J.: Spatial modulation for more spatial multiplexing: RF-chain-limited generalized spatial modulation aided MM-Wave MIMO with hybrid precoding. IEEE Trans. Commun. 66(3), 986–998 (2018)

    Article  Google Scholar 

  7. Liu, A., Lau, V.: Phase only RF precoding for massive MIMO systems with limited RF chains. IEEE Trans. Sign. Proces. 62(17), 4505–4515 (2014)

    Article  MathSciNet  Google Scholar 

  8. Park, S., Park, J., Yazdan, A., Heath, R.W.: Exploiting spatial channel covariance for hybrid precoding in massive MIMO systems. IEEE Trans. Sign. Process. 65(14), 3818–3832 (2017)

    Article  MathSciNet  Google Scholar 

  9. Liu, A., Lau, V.K.N.: Impact of CSI knowledge on the codebook-based hybrid beamforming in massive MIMO. IEEE Trans. Sign. Process. 64(24), 6545–6556 (2016)

    Article  MathSciNet  Google Scholar 

  10. Zeng, W., Xiao, C., Wang, M., Lu, J.: Linear precoding for finite-alphabet inputs over MIMO fading channels with statistical CSI. IEEE Trans. Sign. Process. 60(6), 3134–3148 (2012)

    Article  MathSciNet  Google Scholar 

  11. Xu, Y., Xia, X., Xu, K., Wang, Y.: Three-dimension massive MIMO for air-to-ground transmission: location-assisted precoding and impact of AoD uncertainty. IEEE Access 5, 15582–15596 (2017)

    Article  Google Scholar 

  12. Zhang, Q., Xi, Q., He, C., Jiang, L.: User clustered opportunistic beamforming for stratospheric communications. IEEE Commun. Lett. 20(9), 1832–1835 (2016)

    Article  Google Scholar 

  13. Gupta, A.K., Nagar, D.K.: Matrix Variate Distributions. Chapman, Hall/CRC, Boca Raton (2000)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pingping Ji .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ji, P., Jiang, L., He, C., He, D. (2020). Hybrid Precoding for HAP Massive MIMO Systems. In: Yu, Q. (eds) Space Information Networks. SINC 2019. Communications in Computer and Information Science, vol 1169. Springer, Singapore. https://doi.org/10.1007/978-981-15-3442-3_21

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-3442-3_21

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3441-6

  • Online ISBN: 978-981-15-3442-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics